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243 launch guides · 2601 reviewed steps
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AI/ML · Software Engineering · DevOps & CI/CD · Security

Build a production chatbot with the OpenAI Responses API

Create a durable Node.js chatbot with OpenAI Conversations, typed response streaming, safe cancellation, transcript recovery, duplicate protection, explicit retention and deletion, real failure drills, and a production release gate.
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caution150 minadvanced10 stepsNode.js

AI/ML · Services & Applications · Software Engineering

Build a production Discord slash-command assistant

Build a Discord interactions endpoint that verifies exact Ed25519-signed bytes, deduplicates interaction IDs, defers within Discord's deadline, streams progress through throttled original-response edits, checks application and channel permission context, moderates input and output, disables mentions, honors rate-limit guidance, and deploys with durable workers and human-approved consequential actions.
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caution280 minadvanced14 stepsNode.js

AI/ML · Software Engineering · Security

Build a streaming web chatbot with the Claude Messages API

Build an authenticated Claude chat service that persists application-owned conversation turns, streams typed content blocks, distinguishes every stop reason, handles cancellation and browser reconnection, and never duplicates a model turn after an ambiguous disconnect.
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caution180 minadvanced10 stepsNode.js

AI/ML · Services & Applications · Identity & Access · Software Engineering · Security

Build a production Slack bot with streaming and human escalation

Build a multi-workspace Slack support bot with OAuth installation, Slack-signed Events API and interaction handling, slash commands, durable delivery deduplication, channel allowlists, isolated thread memory, OpenAI streaming through Slack's native chat stream methods, bounded rate-limit retries, explicit two-step human escalation, encrypted installation storage, observability, export, rollback and teardown.
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caution300 minadvanced14 stepsNode.js

AI/ML · Software Engineering · Security

Build a fully local desktop chatbot with LM Studio

Create a small Linux desktop chat application that talks only to LM Studio on loopback, streams answers into a Tk interface, manages model loading explicitly, keeps conversation storage opt-in, and packages the result as a reproducible Python zip application.
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caution150 minintermediate12 stepsLM Studio